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首页> 外文期刊>American Journal of Operations Research >Fuzzy Geometric Programming in Multivariate Stratified Sample Surveys in Presence of Non-Response with Quadratic Cost Function
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Fuzzy Geometric Programming in Multivariate Stratified Sample Surveys in Presence of Non-Response with Quadratic Cost Function

机译:具有二次成本函数的无响应多变量分层抽样调查中的模糊几何规划

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摘要

In this paper, the problem of non-response with significant travel costs in multivariate stratified sample surveys has been formulated of as a Multi-Objective Geometric Programming Problem (MOGPP). The fuzzy programming approach has been described for solving the formulated MOGPP. The formulated MOGPP has been solved with the help of LINGO Software and the dual solution is obtained. The optimum allocations of sample sizes of respondents and non respondents are obtained with the help of dual solutions and primal-dual relationship theorem. A numerical example is given to illustrate the procedure.? ?
机译:在本文中,多层次分层样本调查中旅行成本高的无响应问题已被表述为多目标几何规划问题(MOGPP)。已经描述了用于解决所制定的MOGPP的模糊编程方法。借助LINGO软件已解决了制定的MOGPP,并获得了双重解决方案。借助对偶解和原对偶关系定理,可以得到受访者和非受访者的样本量的最佳分配。数值例子说明了该过程。 ?

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